Ti Wu
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
- Materials Chemistry top 10%
- Graphene research and applications
- Luminescence and Fluorescent Materials
Papers in
-
- Organic Electronics and Photovoltaics 14
- Advanced Memory and Neural Computing 5
- Organic Light-Emitting Diodes Research 3
- Perovskite Materials and Applications 3
-
- Graphene research and applications 4
- Luminescence and Fluorescent Materials 3
- Co-authors
- Yunqi Liu (12 shared papers)Gui Yu (11 shared papers)Yunlong Guo (9 shared papers)Hongtao Liu (9 shared papers)Jian Zheng (6 shared papers)Daoben Zhu (4 shared papers)Bin Wu (3 shared papers)Chong‐an Di (3 shared papers)
In The Last Decade
Ti Wu
24 papers receiving 689 citations
Peers
Comparison fields: 5 of 45
- Polymers and Plastics 193
- Materials Chemistry 389
- Electrical and Electronic Engineering 451
- Electronic, Optical and Magnetic Materials 114
- Biomedical Engineering 145
Countries citing papers authored by Ti Wu
This map shows the geographic impact of Ti Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ti Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ti Wu more than expected).
Fields of papers citing papers by Ti Wu
This network shows the impact of papers produced by Ti Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ti Wu. The network helps show where Ti Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ti Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 128 | |
| 2 | 2011 | 100 | |
| 3 | 2010 | 92 | |
| 4 | 2013 | 92 | |
| 5 | 2010 | 52 | |
| 6 | 2010 | 35 | |
| 7 | 2010 | 30 | |
| 8 | 2012 | 28 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 22 | |
| 11 | 2011 | 19 | |
| 12 | 2010 | 15 | |
| 13 | 2023 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2005 | 10 | |
| 16 | 2024 | 8 | |
| 17 | 2018 | 8 | |
| 18 | 2012 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Ti Wu
Ti Wu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 28 papers that have together received 694 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (14 papers), Conducting polymers and applications (9 papers), Advanced Memory and Neural Computing (5 papers), Graphene research and applications (4 papers), Luminescence and Fluorescent Materials (3 papers), Organic Light-Emitting Diodes Research (3 papers), Perovskite Materials and Applications (3 papers) and Mechanical Engineering and Vibrations Research (2 papers). The work is most often cited by research in Polymers and Plastics (193 citations), Materials Chemistry (389 citations), Electrical and Electronic Engineering (451 citations), Electronic, Optical and Magnetic Materials (114 citations) and Biomedical Engineering (145 citations). Ti Wu has collaborated with scholars based in China and Slovakia. Frequent co-authors include Yunqi Liu, Gui Yu, Yunlong Guo, Hongtao Liu, Jian Zheng, Daoben Zhu, Bin Wu, Chong‐an Di, Shanghui Ye and Chunyan Du. Their work appears in journals such as Journal of Materials Chemistry C, Scientific Reports, Chemical Communications, New Journal of Chemistry and The Journal of Physical Chemistry C.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.